Monica L

United States

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Summary

🤩

Rockstar

🎓

Top School

Monica L is a data-informed, full-funnel marketer with 26 years of experience building omni-channel demand generation and account-based marketing programs across B2B, B2C, and DTC. She blends strategic vision with hands-on execution across paid social, display, email, CTV, SEO/SEM, and live events, managing large paid media budgets and complex CRM integrations to drive measurable growth. Equally comfortable translating customer behavior into targeting models or creating campaign frameworks from scratch, she pairs analytical rigor with storytelling and operational discipline. Unusually for a marketer, she contributes to open-source engineering projects (including performance and debugging improvements in high-profile repos like TensorFlow and ICU), reflecting a technical curiosity that helps bridge marketing, product, and engineering teams. Based in the United States with dual BS degrees in Marketing and International Business from Cal State Long Beach, she also brings a global mindset and a knack for cross-functional collaboration. Outside work she recharges by hiking with her dogs, playing mahjong, and traveling frequently.

26 years of coding experience

Bachelor of Science - BS Marketing, Bachelor of Science - BS Marketing at California State University-Long Beach - College of Business

Chinese

Github Skills (16)

c-language10

tensorflow10

cprogramming-language10

python10

performance-optimization9

machine-learning9

deep-learning9

neural-network8

testing8

documentation8

data-structure7

hyper-threading7

multithreading7

thread7

data-structures7

Programming languages (7)

JavaC++ShellRustJavaScriptHTMLPython

Github contributions (5)

unicode-org/icu

Oct 1999 - Jun 2004

The home of the ICU project source code.

Role in this project:

Back-end Developer

Contributions:3 reviews, 2123 commits, 4 comments in 4 years 8 months

Contributions summary:Monica's commits focus on performance improvements to ICU tests and code, specifically by making round-trip tests faster. They also modified data processing for the zoneinfo data, showing direct interaction with ICU's internal data structures. Their changes included refactoring code to minimize operations within mutexes and fixing a typo, indicating an involvement in improving the project's reliability and performance.

cppc-plus-plusicu4cunicode-consortiumicu4j

tensorflow/tensorflow

Feb 2022 - Dec 2022

An Open Source Machine Learning Framework for Everyone

Role in this project:

Back-end Developer

Contributions:5 reviews, 100 commits, 20 PRs in 10 months

Contributions summary:Monica primarily contributed to the TensorFlow codebase by updating and improving documentation, specifically within the `tf.math` module. They also made changes related to stack trace handling in function libraries and graph classes, indicating involvement in core TensorFlow functionalities. Furthermore, the user added debug information to the graph def and refactored the code to make debugging easier.

pythondata-sciencedeep-learningmlmachine-learning

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